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GDIS: A global dataset of geocoded disaster locations

Spatial information on 39,953 locations for 9,924 natural disasters worldwide (1960-2018) including floods, storms, and droughts, geocoded as GIS polygons.

doi.org

At a glance

Region
Global
Coverage
Global
Access
Free
Category
Research
Last updated
2021

What's inside

  • Flood Data

What you can do with it

Typical work that data of this type supports.

  1. 01

    Hazard maps

    Map flood-prone areas and who and what is exposed.

    Because it has: Flood Data

  2. 02

    Model validation

    Check flood models against observed events.

  3. 03

    Drought indices

    Track SPI and SPEI style indices for declarations and relief.

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Flood extent from SAR

    Segment flooded areas in radar imagery, even through cloud.

  2. 02

    Depth estimates

    Learn flood depth from terrain, rainfall and past events.

  3. 03

    Onset forecasts

    Predict drought onset months ahead from climate signals.

Machine access and documentation

Data paper

GDIS: A global dataset of geocoded disaster locations

Scientific Data 2021

Read the paper

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